High performance set of features for human action classification

Proceedings of the 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009

Volumn 2, Issue , 2009, Pages 980-984

  Brahnam, S ^a   Nanni, L ^b  

^a MISSOURI STATE UNIVERSITY   (United States)

^b UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

Ensemble of support vector machines; Gabor filters; Histogram of gradients; Human action classification; Local binary patterns; Machine learning techniques

Indexed keywords

ACCURACY RATE; COMBINING SETS; DATA SETS; DESCRIPTORS; HISTOGRAM OF GRADIENTS; HUMAN ACTIONS; LOCAL BINARY PATTERNS; MACHINE LEARNING TECHNIQUES; RANDOM SUBSPACES; STATE OF THE ART; TASK DOMAIN;

CONTENT BASED RETRIEVAL; GABOR FILTERS; GRAPHIC METHODS; LEARNING ALGORITHMS; SUPPORT VECTOR MACHINES;

COMPUTER VISION;

EID: 84864947174     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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